Identifying sarcoidosis trends using web search and real-world data in Sweden: a retrospective longitudinal study.

Web search data are associated with disease incidence, population interest, and seasonal variations. This study aimed to investigate seasonal and geographical variations of web search data for sarcoidosis and to explore its association with external factors and sarcoidosis incidence in Sweden. Therefore, sarcoidosis-related data from Google Ads Keyword Planer (2017-2020) were generated for Sweden according to its 21 counties. The relationship between search volume and season, region, population demographics, environmental factors, and the sarcoidosis incidence listed in the National Patient Register was assessed. Analyses revealed seasonal variations for Sweden with an overall peak in the spring and autumn. Geographical differences were observed, with a higher search volume for north-western counties and the lowest search volume for Stockholm County. At the country level, the search volume was positively associated with the sarcoidosis incidence. Higher male proportion and older mean age were associated with a higher search volume, while a higher proportion of foreign-born residents, humidity, and mean temperature were associated with a lower search volume. Our analyses detected correlations between web search data, sarcoidosis incidence, and external factors. Analyses of sarcoidosis web search data therefore appear to be a valuable approach to disease surveillance to address medical needs and public interest.

A qualitative exploration of the patient journey in axial spondyloarthritis towards a people-centered understanding.

This exploratory qualitative study aims to gain a people-centered understanding of the patient journey in axial spondyloarthritis (axSpA). Semi-structured interviews were conducted with 15 individuals diagnosed with axSpA, aged 18 years and older, who were purposively recruited from a rheumatologic practice in southern Germany. The interviews were carried out as web-based video calls between September and October 2021, audio-recorded, transcribed verbatim, and analyzed according to Kuckartz's qualitative content analysis. Patient journey narratives encompassed both healthcare journeys and personal journeys. Healthcare journeys were characterized as fragmented and difficult to navigate, with diagnosis often marking a turning point toward more coordinated care. Post-diagnosis, new challenges emerged (e.g., time management for treatment). Personal journeys comprised perceptions of axSpA in social contexts (e.g., stigmatization) and the continuous interplay of comorbidities and biographical events with healthcare related to axSpA. This study proposes a people-centered perspective on the patient journey in axSpA, emphasizing the interplay of biographies, comorbidities, and social context with healthcare events. Recognizing these personal factors in clinical practice is encouraged to address complex health needs and tailor treatment to each individual. Further efforts should promote collaboration between medical disciplines and integrate healthcare and social support at all stages of the axSpA patient journey.

Predictors of initiating biologics in the treatment of psoriasis.

BACKGROUND: Biologics are among the most effective therapies for psoriasis. However, many patients are only introduced to them at advanced stages of the disease course. OBJECTIVES: Our aim was to identify predictors of initiating biologic therapy in patients with psoriasis and compare patients initiating biologics early versus late in their disease course. METHODS: Kaplan-Meier curves visualized time to biologic initiation, while Cox regression models further explored variables as predictors of biologic initiation. Mann-Whitney U and chi-squared tests compared patients who started biologics early with those who began biologics later in the disease course. RESULTS: Our primary analysis included 233 psoriasis patients. Cox regression showed that age at diagnosis (P = 0.007), general physical well-being (P = 0.02), and nail psoriasis severity (P = 0.02) were significantly associated with time to biologic initiation. Our secondary analysis, the comparisons between patients starting biologics early versus later in the disease course, included a total of 378 patients. The median (interquartile range [IQR]) age at diagnosis was 34.5 (25.0-51.2) years for patients initiating biologics within 5 years, compared to 22.0 (15.0-32.8) years for patients initiating biologics later (P < 0.0001). The median (IQR) age at initiation was 37.0 (27.0-53.2) and 45.0 (36.0-55.0) years for patients initiating biologics earlier versus later than 5 years (P = 0.04). CONCLUSIONS: Age at diagnosis, general well-being, and severity of nail psoriasis significantly predicted future initiation of biologic treatment. Patients initiating biologics early in their disease course were generally older at diagnosis but younger at the time of biologic initiation compared to patients initiating biologics later in their disease course.

Digital Media Usage Behavior and Its Impact on the Physician-Patient Relationship: Cross-Sectional Study Among Individuals Affected by Psoriasis in Germany.

BACKGROUND: Psoriasis is a chronic skin disorder with a high burden of disease. People affected with psoriasis increasingly use the internet for health-related reasons, especially those with younger age, higher education, and higher disease severity. Despite advantages such as enhancing the individuals' knowledge with the use of digital media for health-related issues, disadvantages were also present such as quality control, and variability in the individuals' health information literacy. While patients with psoriasis within medical settings generally trust physicians over digital media, they commonly withhold their web-based research findings from health care providers. OBJECTIVE: The study aims to (1) identify further factors associated with regular psoriasis-related internet use, (2) rank specific digital media platforms used, and (3) examine digital media within the physician-patient relationship among individuals with and without dermatological treatment. METHODS: A cross-sectional, questionnaire-based study was conducted among individuals with self-reported psoriasis in Germany between September 2021 and February 2022. Participants were recruited via digital media platforms and in person at a University Hospital Department of Dermatology in southern Germany. The questionnaire asked about demographic and medical information, individual psoriasis-related digital media use, and the impact of digital media on the physician-patient relationship. Data were analyzed descriptively, and logistic regression models were performed to assess the factors associated with regular psoriasis-related internet use. RESULTS: Among 321 individuals with a median age of 53 (IQR 41-61) years (nonnormally distributed; females: 195/321), female sex, shorter disease duration, moderate mental burden of disease, and good self-assessed psoriasis-related knowledge were associated with regular psoriasis-related internet use. Of the 188 participants with a mean age of 51.2 (SD 13.9) years (normally distributed) who used digital media 106 (56.4%) usually searched for information on psoriasis-based websites and 98 (52.1%) on search engines, primarily for obtaining information about the disease and therapy options, while social media were less frequently used (49/188, 26.1%). Nearly two-thirds of internet users (125/188) claimed that their physicians did not recommend digital media platforms. About 44% (82/188) of the individuals reported to seek for additional information due to the insufficient information provided by their physician. CONCLUSIONS: This study revealed the importance of digital media in the context of psoriasis, especially among women, individuals with shorter disease duration, and moderate mental disease severity. The lack of physicians' digital media recommendations despite their patients' desire to receive such and being more involved in health-related decisions seems to be a shortcoming within the physician-patient relationships. Physicians should guide their patients on digital media by recommending platforms with evidence-based information, thereby potentially creating an adequate framework for shared decision-making. Future research should focus on strategies to prevent the spread of false information on digital media and address the needs of patients and physicians to enhance health-related digital media offerings.

Vitiligo - a disease: A position paper on stigmatization, life quality impairment and psychosocial comorbidity.

Vitiligo is a common disorder characterized by the visible loss of skin pigmentation. Non-segmental vitiligo (NSV) is the major subtype. The disease is caused by autoimmune-mediated destruction of melanocytes. Vitiligo leads to stigmatization and a significant reduction in quality of life. Disregarding the psychosocial burden, vitiligo is sometimes viewed solely as a cosmetic problem and, according to a global survey, is diagnosed on average only after 2.4 years. This delay contributes to a considerable burden of disease, including suicidal ideation. Stigmatization promotes the development of psychological comorbidities such as anxiety and depressive disorders, with prevalence rates varying by country and study (0.1%-67.9%). Data for Germany are heterogeneous and largely based on estimates. Due to psychosocial factors, the inflammatory component, and a higher incidence of somatic comorbidities, NSV may be regarded as an inflammatory systemic disease. We recommend optimizing care by incorporating the assessment of quality of life as a standard in routine care, in addition to monitoring disease activity. Moreover, early screening for psychological comorbidities is crucial to initiate appropriate treatment before the condition becomes chronic and cumulative (irreversible) impairments occur. The goal is a personalized and patient-centered integrated care approach that sustainably improves the health status of those affected.

Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review.

BACKGROUND: The integration of artificial intelligence and chatbot technology in health care has attracted significant attention due to its potential to improve patient care and streamline history-taking. As artificial intelligence-driven conversational agents, chatbots offer the opportunity to revolutionize history-taking, necessitating a comprehensive examination of their impact on medical practice. OBJECTIVE: This systematic review aims to assess the role, effectiveness, usability, and patient acceptance of chatbots in medical history-taking. It also examines potential challenges and future opportunities for integration into clinical practice. METHODS: A systematic search included PubMed, Embase, MEDLINE (via Ovid), CENTRAL, Scopus, and Open Science and covered studies through July 2024. The inclusion and exclusion criteria for the studies reviewed were based on the PICOS (participants, interventions, comparators, outcomes, and study design) framework. The population included individuals using health care chatbots for medical history-taking. Interventions focused on chatbots designed to facilitate medical history-taking. The outcomes of interest were the feasibility, acceptance, and usability of chatbot-based medical history-taking. Studies not reporting on these outcomes were excluded. All study designs except conference papers were eligible for inclusion. Only English-language studies were considered. There were no specific restrictions on study duration. Key search terms included "chatbot*," "conversational agent*," "virtual assistant," "artificial intelligence chatbot," "medical history," and "history-taking." The quality of observational studies was classified using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) criteria (eg, sample size, design, data collection, and follow-up). The RoB 2 (Risk of Bias) tool assessed areas and the levels of bias in randomized controlled trials (RCTs). RESULTS: The review included 15 observational studies and 3 RCTs and synthesized evidence from different medical fields and populations. Chatbots systematically collect information through targeted queries and data retrieval, improving patient engagement and satisfaction. The results show that chatbots have great potential for history-taking and that the efficiency and accessibility of the health care system can be improved by 24/7 automated data collection. Bias assessments revealed that of the 15 observational studies, 5 (33%) studies were of high quality, 5 (33%) studies were of moderate quality, and 5 (33%) studies were of low quality. Of the RCTs, 2 had a low risk of bias, while 1 had a high risk. CONCLUSIONS: This systematic review provides critical insights into the potential benefits and challenges of using chatbots for medical history-taking. The included studies showed that chatbots can increase patient engagement, streamline data collection, and improve health care decision-making. For effective integration into clinical practice, it is crucial to design user-friendly interfaces, ensure robust data security, and maintain empathetic patient-physician interactions. Future research should focus on refining chatbot algorithms, improving their emotional intelligence, and extending their application to different health care settings to realize their full potential in modern medicine. TRIAL REGISTRATION: PROSPERO CRD42023410312; www.crd.york.ac.uk/prospero.

Next generation mycological diagnosis: Artificial intelligence-based classifier of the presence of Malassezia yeasts in tape strip samples.

BACKGROUND: Malassezia yeasts are almost universally present on human skin worldwide. While they can cause diseases such as pityriasis versicolor, their implication in skin homeostasis and pathophysiology of other dermatoses is still unclear. Their analysis using native microscopy of skin tape strips is operator dependent and requires skill, training and significant amounts of hands-on time. OBJECTIVES AND METHODS: To standardise and improve the speed and quality of diagnosis of Malassezia in skin tape strip samples, we sought to create an artificial intelligence-based algorithm for this image classification task. Three algorithms, each using different internal architectures, were trained and validated on a manually annotated dataset of 1113 images from 22 samples. RESULTS: The Vision Transformer-based algorithm performed the best with a validation accuracy of 94%, sensitivity of 94.0% and specificity of 93.5%. Visualisations providing insight into the reasoning of the algorithm were presented and discussed. CONCLUSION: Our image classifier achieved very good performance in the diagnosis of the presence of Malassezia yeasts in tape strip samples of human skin and can therefore improve the speed and quality of, and access to this diagnostic test. By expanding data sources and explainability, the algorithm could also provide teaching points for more novice operators in future.

Continuously monitoring the human machine? - A cross-sectional study to assess the acceptance of wearables in Germany.

Background: Wearables have the potential to transform healthcare by enabling early detection and monitoring of chronic diseases. This study aimed to assess wearables' acceptance, usage, and reasons for non-use. Methods: Anonymous questionnaires were used to collect data in Germany on wearable ownership, usage behaviour, acceptance of health monitoring, and willingness to share data. Results: Out of 643 respondents, 550 participants provided wearable acceptance data. The average age was 36.6 years, with 51.3% female and 39.6% residing in rural areas. Overall, 33.8% reported wearing a wearable, primarily smartwatches or fitness wristbands. Men (63.3%) and women (57.8%) expressed willingness to wear a sensor for health monitoring, and 61.5% were open to sharing data with healthcare providers. Concerns included data security, privacy, and perceived lack of need. Conclusion: The study highlights the acceptance and potential of wearables, particularly for health monitoring and data sharing with healthcare providers. Addressing data security and privacy concerns could enhance the adoption of innovative wearables, such as implants, for early detection and monitoring of chronic diseases.

Unmet Needs in Darier's Disease from a Patient's Perspective: Lessons Learnt from the German Registry.

The MDHHgermany registry was initiated to characterize the "real-life" situation of affected individuals with Darier's disease (DD; Morbus Darier, MD) and Hailey-Hailey disease (HH), including their treatment and healthcare. To gain deeper insights into medical care of patients with DD, various aspects such as demographics, subjective symptoms, patient satisfaction with medical care, past and current therapies were explored. Patients with diagnosed DD were included. Subjective symptoms such as itch, pain and burning sensation were assessed. Individual therapy goals were recorded and patients assessed previous/current therapies along with satisfaction of medical care and treatment. A total of 55 patients were recruited; 47 patients were eligible for the analysis. Pruritus was rated the most bothersome symptom. Some 42.6% had not received systemic treatment so far or systemic therapies were rated ineffective (32.6%). Most commonly oral retinoids were prescribed, followed by corticosteroids. Patient satisfaction with medical care and treatment proved to be mediocre. This "real-life" data show an alarming unmet need regarding patients' satisfaction with medical care and treatment, evidenced by the reported lack of disease control. Further studies and interventions are needed to improve the spectrum of available therapies. MDHHgermany provides a foundational platform for future clinical trials, epidemiological studies, and pathophysiological analyses.

Disease-Related Internet Use and its Relevance to the Patient-Physician Relationship in Atopic Dermatitis: A Cross-Sectional Study in Germany.

Background: Health-related internet use presents both opportunities and challenges for patients and physicians and requires a comprehensive understanding to improve individual health care in atopic dermatitis (AD). Objective: To explore differences between regular and irregular disease-related internet users, reasons for disease-related internet use, and its relevance to the patient-physician relationship in AD. Methods: This cross-sectional study recruited 221 adults with AD online and from a German university clinic between August 2021 and February 2022. The questionnaire queried sociodemographic and disease-related information, reasons for and against using the internet, types of channels used, and the impact on the patient-physician relationship. Participants were categorized as regular (≥once per month) and irregular (

Leveraging web search data in Germany to identify unmet needs of contraceptives on a population-based level: A longitudinal retrospective study.

BACKGROUND: There are a variety of possible contraceptives available. While medical advice is an important resource for selecting the individual contraceptive, previous research has shown that the Internet has become an increasingly important source of health care information. OBJECTIVES: This study aims to identify key trends in contraception-related web searches in Germany and thus allows conclusions about preferences and unmet needs with regard to pregnancy prevention. DESIGN: Longitudinal retrospective study. METHODS: Google Ads Keyword Planner was used to identify contraception-related keywords and their search volume in Germany and all federal states between 2018 and 2021. The keywords were categorized based on gender, hormonal/non-hormonal, and different contraceptive methods. Search volume and categories were analyzed for temporal trends, regional differences, and underlying socioeconomic variables. RESULTS: The 1481 contraception-related keywords corresponded to 15,081,760 searches. In total, a 56% increase in searches/100,000 inhabitants was observed. Highest mean search volume was observed in categories "woman," "woman/non-hormonal" and "woman/non-hormonal/barrier," respectively, and in the federal state Hamburg, while the lowest was seen in North Rhine-Westphalia. CONCLUSION: The increase in search volume reflects a high interest in contraception, particularly in non-hormonal female methods. This stands in contrast to the limited number of effective non-hormonal contraceptives available and points to an unmet need. In addition, the low search volume for male contraceptives demonstrates gender-specific responsibilities regarding family planning in German society.

Analyzing Google search volume to identify preferences and unmet needs in contraception in German societyContraception is a topic that occupies many people in their daily lives. There is a wide range of different contraceptives available. The decision for a particular contraceptive can be made with the help of a consultation with a gynecologist or through other sources, such as the Internet. Research has shown that the Internet has become an important source for obtaining health information. This study aims to identify key trends in contraception-related web searches in Germany and thus allows conclusions about preferences and unmet needs with regard to pregnancy prevention. Google Ads Keyword Planner was used to identify contraception-related keywords and their search volume in Germany and all federal states between 2018 and 2021. The keywords were assigned to different categories based on whether the woman or the man uses the contraceptive, whether the contraceptive methods contain hormones or no hormones, and which exact contraceptive methods are associated with the search term. The search volume was analyzed in terms of trends over time, regional differences in Germany and socioeconomic variables. A 56% increase in searches per 100,000 inhabitants was observed. The highest mean search volume was observed in the category woman, followed by female non-hormonal contraceptives and within that category, the contraceptive method "barrier." The study shows that there is a high interest in contraception, especially in non-hormonal female contraceptives. These results contrast with the limited number of non-hormonal and effective contraceptive methods available. In addition, the low search volume in the category man shows that women are the main responsible party in terms of contraception in German society.

Cancer incidence and digital information seeking in Germany: a retrospective observational study.

Awareness is vital for cancer prevention. US studies show a strong link between web searches and cancer incidence. In Europe, the relationship remains unclear. This study characterizes regional and temporal relationships between cancer incidence and web searches and investigates the content of searches related to breast, cervical, colorectal, lung, prostate, and testicular cancer, brain tumors, and melanoma in Germany (July 2018-December 2019). Aggregate data from Google Ads Keyword Planner and national cancer registry data were analyzed. Spearman's correlation coefficient (rS) examined associations between cancer incidence and web search, repeated measures correlation (rrm) assessed time trends and searches were qualitatively categorized. The frequency of malignancy-related web searches correlated with cancer incidence (rS = 0.88, P = 0.007), e.g., breast cancer had more queries than the lower-incidence cervical cancer. Seasonally, incidence and searches followed similar patterns, peaking in spring and fall, except for melanoma. Correlations between entity incidence and searches (0.037 ≤ rrm ≤ 0.208) varied regionally. Keywords mainly focused on diagnosis, symptoms, and general information, with variations between entities. In Germany, web searches correlated with regional and seasonal incidence, revealing differences between North/East and South/West. These insights may help improve prevention strategies by identifying regional needs and assessing impact of awareness campaigns.

Transdermal Sensing of Enzyme Biomarker Enabled by Chemo-Responsive Probe-Modified Epidermal Microneedle Patch in Human Skin Tissue.

Wearable bioelectronics represents a significant breakthrough in healthcare settings, particularly in (bio)sensing which offers an alternative way to track individual health for diagnostics and therapy. However, there has been no notable improvement in the field of cancer, particularly for skin cancer. Here, a wearable bioelectronic patch is established for transdermal sensing of the melanoma biomarker, tyrosinase (Tyr), using a microneedle array integrated with a surface-bound chemo-responsive smart probe to enable target-specific electrochemical detection of Tyr directly from human skin tissue. The results presented herein demonstrate the feasibility of a transdermal microneedle sensor for direct quantification of enzyme biomarkers in an ex vivo skin model. Initial performance analysis of the transdermal microneedle sensor proves that the designed methodology can be an alternative for fast and reliable diagnosis of melanoma and the evaluation of skin moles. The innovative approach presented here may revolutionize the landscape of skin monitoring by offering a nondisruptive means for continuous surveillance and timely intervention of skin anomalies, such as inflammatory skin diseases or allergies and can be extended to the screening of multiple responses of complementary biomarkers with simple modification in device design.

The socio-economic burden of H1-antihistamine-refractory chronic spontaneous urticaria in Germany.

BACKGROUND AND STUDY AIM: Data from the AWARE study (A Worldwide Antihistamine-Refractory chronic urticaria patient Evaluation) illustrate a substantial disease burden in German patients with H1-antihistamine (-H1-AH)-refractory chronic spontaneous urticaria (CSU). Detrimental effects on patients' quality of life, poor disease control and impairment in the ability to work and perform other daily activities are reported. Based on these findings, this study aims to quantify the epidemiological and socio-economic burden of H1-AH-refractory CSU in Germany. METHODS: To determine the epidemiological burden of H1-AH-refractory CSU, the age- and gender-specific prevalence of CSU and the proportion of H1-AH-refractory patients in Germany anonymized data from the InGef research database have been used. In a second step, the socio-economic burden in terms of lost numbers of hours in paid and unpaid work was calculated by extrapolating the age- and gender-specific work productivity and activity impairment (WPAI) observed in AWARE to the H1-AH-refractory CSU population in Germany. Finally, productivity losses in paid and unpaid work were monetized using the human capital and the friction cost approach respectively. Moreover, socio-economic burden was calculated depending on symptom control of the patients (measured by urticaria control test [UCT]). RESULTS: In Germany, over 203,000 patients (20 years or older) had H1-AH-refractory CSU in 2018. The avoided lost paid and unpaid work hours attributable to H1-AH-refractory CSU summed up to over 100 million. Overall, the socio-economic burden of H1-AH-refractory CSU in monetary terms was evaluated at € 2.2 billion and the majority of this was due to unpaid work loss. Patients with poor disease control, as indicated by UCT score < 12, were more likely to suffer from high impairment than patients with controlled disease, resulting in a higher socio-economic burden. CONCLUSION: The results of our analyses picture the substantial socio-economic burden of H1-AH-refractory CSU and therefore the tremendous impact it has on daily lives of individuals and society overall.

Prevalence of hypersensitivity reactions in various forms of mastocytosis: A pilot study of 2485 adult patients with mastocytosis collected in the ECNM registry.

BACKGROUND: Hypersensitivity reactions (HR) are common in mastocytosis. However, little is known about triggers and risk factors. The registry of the European Competence Network on Mastocytosis (ECNM) enables reliable studies in a larger cohort of mastocytosis patients. We assessed prevalence, triggers and risk factors of HR in adults with mastocytosis in the ECNM registry. METHODS: Data were collected in 27 ECNM centers. We analyzed potential triggers (Hymenoptera venoms, food, drug, inhalant and others) and risk factors at diagnosis and during follow-up. The study group consisted of 2485 adults with mastocytosis, 1379 women (55.5%) and 1106 men (44.5%). Median age was 48.2 years (range 18-91 years). RESULTS: Nine hundred and forty eight patients (38.1%) reported one or more HR`. Most common triggers were Hymenoptera venoms in cutaneous mastocytosis (CM) and indolent systemic mastocytosis (ISM), whereas in advanced SM (advSM), most common elicitors were drugs, including nonsteroidal anti-inflammatory agents and penicillin. In multivariate analyses, tryptase level < 90 ng/mL, <15% infiltration by mast cells in bone marrow biopsy-sections, and diagnosis of ISM were identified as independent risk factors for HR. For drug-induced HR, prominent risk factors were advSM and high tryptase levels. New reactions were observed in 4.8% of all patients during 4 years follow-up. CONCLUSIONS: HR are mainly triggered by Hymenoptera venoms in patients with CM and ISM and by drugs in patients with advSM. Tryptase levels <90 ng/mL, mast cell bone marrow infiltration <15%, and WHO category ISM are predictors of HR. New HR occur in 4.8% of all patients within 4 years.

Serum chemistry profiling and prognostication in systemic mastocytosis: a registry-based study of the ECNM and GREM.

ABSTRACT: Certain laboratory abnormalities correlate with subvariants of systemic mastocytosis (SM) and are often prognostically relevant. To assess the diagnostic and prognostic value of individual serum chemistry parameters in SM, 2607 patients enrolled within the European Competence Network on Mastocytosis and 575 patients enrolled within the German Registry on Eosinophils and Mast Cells were analyzed. For screening and diagnosis of SM, tryptase was identified as the most specific serum parameter. For differentiation between indolent and advanced SM (AdvSM), the following serum parameters were most relevant: tryptase, alkaline phosphatase, ß2-microglobulin, lactate dehydrogenase (LDH), albumin, vitamin B12, and C-reactive protein (P < .001). With regard to subvariants of AdvSM, an elevated LDH of ≥260 U/L was associated with multilineage expansion (leukocytosis, r = 0.37, P < .001; monocytosis, r = 0.26, P < .001) and the presence of an associated myeloid neoplasm (P < .001), whereas tryptase levels were highest in mast cell leukemia (MCL) vs non-MCL (308µg/L vs 146µg/L, P = .003). Based on multivariable analysis, the hazard-risk weighted assignment of 1 point to LDH (hazard ratio [HR], 2.1; 95% confidence interval [CI], 1.1-4.0; P = .018) and 1.5 points each to ß2-microglobulin (HR, 2.7; 95% CI, 1.4-5.4; P = .004) and albumin (HR, 3.3; 95% CI, 1.7-6.5; P = .001) delineated a highly predictive 3-tier risk classification system (0 points, 8.1 years vs 1 point, 2.5 years; ≥1.5 points, 1.7 years; P < .001). Moreover, serum chemistry parameters enabled further stratification of patients classified as having an International Prognostic Scoring System for Mastocytosis-AdvSM1/2 risk score (P = .027). In conclusion, serum chemistry profiling is a crucial tool in the clinical practice supporting diagnosis and prognostication of SM and its subvariants.

Burden of atopic dermatitis in Europe: A population-centred approach leveraging web search data in 21 European countries.

BACKGROUND: The complexity, high prevalence, and substantial personal and socioeconomic burden collectively render atopic dermatitis (AD) a major public health concern. Using crowdsourced Internet data has the potential to provide unique insights into this concern, as demonstrated by several previous studies. However, a comprehensive comparison across European countries remains lacking. OBJECTIVES: The study aimed to investigate AD-related web searches across Europe to assess spatiotemporal variations and associations between disease-related and external factors. METHODS: AD-related web search data were extracted for 21 European countries between February 2019 and January 2023. Descriptive analysis and autocorrelation functions were performed to examine spatiotemporal patterns. Correlations (r) were used to evaluate the associations between web searches and disease-related, socioeconomic and meteorological data. RESULTS: Over 241 million AD-related web searches were identified, with search volume varying substantially among European countries (p < 0.001) and correlating with AD prevalence and disease burden (both r = 0.51, p = 0.019). Search volume increased between 2019 and 2023 in all countries and seasonally peaked in January and March. Negative correlations with median population age (r = -0.46, p = 0.039), number of general practitioners (r = -0.29, p = 0.226) and specialists (r = -0.27, p = 0.270) were observed. Moderate to strong correlations were found between search volume and cold, humid and windy weather with fewer sunshine hours, while higher online interest typically occurred 1-3 months after such weather conditions. CONCLUSION: The study highlights the great potential of online crowdsourced data analysis, for example, to investigate the impact of climate change or to identify unmet needs at a population level. Furthermore, the growing online interest in AD and the corresponding seasonal peaks emphasize the necessity of adapting treatment plans, intensifying public health campaigns, and disseminating reliable online information by governments and healthcare providers, especially during these periods.